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method ID: residualnetworks

Related Papers

Recurrent Residual Learning for Sequence Classification

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

In this paper, we explore the possibility of leveraging Residual Networks (ResNet), a powerful structure in constructing extremely deep neural network for image understanding, to improve recurrent neural networks (RNN) …...

33633

Effective Convolutional Attention Network for Multi-label Clinical Document Classification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractMulti-label document classification (MLDC) problems can be challenging, especially for long documents with a large label set and a long-tail distribution over labels. In this paper, we present an effective …...

31595

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractResidual networks are an Euler discretization of solutions to Ordinary Differential Equations (ODE). This paper explores a deeper relationship between Transformer and numerical ODE methods. We first show that a …...

37120